Function reference • mlrHyperopt

hyperopt Start the hyperparameter optimization
`hyperopt()`	Tune Hyperparameters for a machine learning task
generate Functions These functions are the ‘smart’ workers of mlrHyperopt
`generateHyperControl()`	Generates a hyperparameter tuning control object
`generateLearner()`	Generates a Learner for a given task and ParConfig.
`generateParConfig()`	Generates a suitable Parameter Configuration Set for a given Task and a Learner
HyperControl Interact with the main hyperopt control object.
`setHyperControlMeasures()`	Set the measures
`setHyperControlMlrControl()`	Set the mlr TuneControl Object
`setHyperControlResampling()`	Set the mlr resampling Object
`getHyperControlMeasures()`	Get the Measures
`getHyperControlMlrControl()`	Get the mlr Tuning Object
`getHyperControlResampling()`	Get the Resample Description
`generateHyperControl()`	Generates a hyperparameter tuning control object
`makeHyperControl()`	Hyperparameter Tuning Control Object
ParConfig The ParConfig object contain information about the search space (par.set), the parameter settings (par.val) and the associated learner.
`generateParConfig()`	Generates a suitable Parameter Configuration Set for a given Task and a Learner
`getDefaultParConfig()`	Gives a default ParConfig for a Learner
`makeParConfig()`	Make a Parameter Configuration
`setParConfigLearner()`	Set an associated Learner
`setParConfigLearnerType()`	Set the type of the associated learner
`setParConfigNote()`	Set a note
`setParConfigParSet()`	Set a new Parameter Set
`setParConfigParVals()`	Set Parameter Values
`getParConfigLearnerClass()`	Get the class of the associated learner
`getParConfigLearnerName()`	Get the name of the associated learner
`getParConfigLearnerType()`	Get the type of the associated learner
`getParConfigNote()`	Get the note
`getParConfigParSet()`	Get the ParamSet of the configuration
`getParConfigParVals()`	Get the constant parameter settings of the configuration
`generateLearner()`	Generates a Learner for a given task and ParConfig.
Interact with the server Functions to send and retrieve parameter configurations.
`downloadParConfig()`	Downloads a single ParConfig.
`downloadParConfigs()`	Downloads multiple Parameter Configurations from the mlrHyperopt servers
`uploadParConfig()`	Uploads a Parameter Set to the mlrHyperopt servers
Other
`getLearnerClass()`	Get the class of an mlr Learner
`getLearnerName()`	Get the name of an mlr Learner

Reference

hyperopt

generate Functions

HyperControl

ParConfig

Interact with the server

Other

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